Survey on Driver Fatigue Detection Using Sensors, Big Data Analytics and Machine Learning Techniques-Reference-Cited by-同舟云学术

Survey on Driver Fatigue Detection Using Sensors, Big Data Analytics and Machine Learning Techniques

Published:2022-10-01 Issue: Volume: Page:81-90
ISSN:2190-3018
Container-title:ICT with Intelligent Applications
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Author:

Deshmukh Ganesh,Khuspe Aditi,Kadam Radha,Kamble Anjali,Phalke Aditi

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-3571-8_10

Reference31 articles.

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3. McDonald, A.D., Lee, J.D., Schwarz, C., Brown, T.L.: A contextual and temporal algorithm for driver drowsiness detection. Accid. Anal. Prev. 113, 25–37 (2018)

4. Purnamasari, P.D., Hazmi, A.Z.: Heart beat based drowsiness detection system for driver. In: 2018 International Seminar on Application for Technology of Information and Communication, pp. 585–590. IEEE (2018)

5. Arunasalam, M., Yaakob, N., Amir, A., Elshaikh, M., Azahar, N.F.: Real-time drowsiness detection system for driver monitoring. In: IOP Conference Series: Materials Science and Engineering, vol. 767, p. 012066. IOP Publishing (2020)

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